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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Nexus Horizon
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Horizon at the forefront of technological evolution as we shape the future landscape of 2026. We're seeking an AI Futurist Strategist to architect transformative solutions that bridge emerging technologies with human-centric innovation. This role demands visionary thinking to anticipate industry shifts and drive competitive advantage in the rapidly evolving AI ecosystem.

As a key member of our Innovation Lab, you'll collaborate with quantum computing experts, neuro-technologists, and ethical AI pioneers to develop roadmaps that redefine possibilities. Our Austin-based headquarters offers an unparalleled environment for cross-disciplinary breakthroughs, with state-of-the-art labs and direct access to global tech incubators.

Responsibilities

  • Develop 2026 technology foresight frameworks through trend analysis and scenario modeling
  • Architect AI-driven innovation roadmaps for enterprise clients across healthcare, logistics, and energy sectors
  • Lead cross-functional workshops to synthesize quantum computing, biotech, and neural interface developments
  • Author thought leadership publications on AI ethics and societal impact by 2026
  • Establish KPIs for measuring technological adoption readiness and disruption preparedness
  • Partner with venture capital teams to identify emerging startups with 2026 potential
  • Present strategic blueprints to C-suite executives and government innovation councils

Qualifications

  • Minimum 8 years in AI/ML strategy with demonstrated impact on Fortune 500 roadmaps
  • Expertise in horizon scanning methodologies (e.g., Delphi, STEEP-V analysis)
  • Published research on exponential technologies (quantum, AGI, synthetic biology)
  • Certification in Futures Studies or Technology Foresight (preferred)
  • Experience with scenario planning tools (e.g., Causal Layered Analysis)
  • Track record of securing $5M+ innovation budgets for experimental initiatives
  • Deep understanding of regulatory landscapes for autonomous systems and biotech
  • PhD in Computer Science, Systems Engineering, or related field (required)

Required Skills

Artificial Intelligence Strategic Foresight Quantum Computing Scenario Planning Technology Roadmapping Innovation Management Ethical AI Systems Thinking

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